1,721,062 research outputs found
Data-driven design for fault prognosis: Application to industrial components, subsystems, and systems
Full text linkTechnical processes in diverse industries, like manufacturing, chemicals, and power generation, involve intricate operations that aim to achieve specific outcomes. These operations often entail complex interactions among components and systems. However, they can also carry substantial risks to health, the environment, and industry sustainability. Hence, the implementation of a robust fault prognosis system is paramount for safeguarding the safety and dependability of these intricate technical processes.
Conversely, these technical processes frequently accumulate vast quantities of historical data through routine sensor measurements, event logs, and records. This observation fuels a compelling interest in crafting fault prognosis methods solely reliant on this abundant process data. Consequently, the main objective of this thesis was to design effective data-driven fault prognosis strategies tailored to diverse operational scenarios.
This thesis explores fault prognosis across various technical process levels, including key components, subsystems, and systems. It begins with basic component-level issues and progresses to intricate system-level challenges, aiming to gain a holistic grasp of data-driven fault prognosis complexities in industrial contexts.
The first objective aimed to create a reliable fault prognosis system for critical technical process components, specifically roller bearings. A novel data-driven prediction framework was proposed, involving two phases: feature extraction via Empirical Mode Decomposition and Remaining Useful Life (RUL) prediction using an RFs-based model with hyperparameters fine-tuned through Bayesian optimization. Notably, this approach demonstrated substantial enhancements in RUL prediction accuracy compared to conventional data-driven and stochastic methods during an actual run-to-failure experiment involving roller bearings.
The second objective aimed to create an effective fault prognosis system for technical process subsystems, with a focus on preventing operational failures. The research selected an automated fuse test bench, a manufacturing line subsystem, as the subject of study. Initially, an integrated fault diagnosis system based on extreme gradient boosting was introduced, showcasing superior performance in detection and classification accuracy while achieving quicker diagnosis times than standard approaches. Subsequently, the scope of extreme gradient boosting was broadened to encompass fault prognosis through methodological enhancements and the incorporation of supplementary data streams like images.
The third objective focused on designing an accurate predictive model for anticipating future operating conditions in industrial systems to avert catastrophic accidents. The study honed in on a liquid hydrogen storage system as its research subject. A novel application of the random forests algorithm was introduced to enable early detection of hazardous incidents like liquid hydrogen spills, thereby averting catastrophic outcomes like detonation. The model demonstrated remarkable accuracy, surpassing other machine learning methods previously employed for similar experiments. This model, forged through the study, offers valuable insights for comprehensive risk analysis and the identification of prevention and mitigation measures, especially in the context of emerging liquid hydrogen technology applications.
This Ph.D. study offers the potential for enhanced industrial fault prognosis methods, fostering improved safety and sustainability within the industry. Furthermore, it may serve as a valuable reference and launching point for future academic research, offering insights into the merits and complexities of employing data-driven techniques in real-world industrial applications
Peningkatan Prestasi Belajar Melalui Metode Pembelajaran Quick On The Draw Untuk Siswa Kelas X Pada Materi Kepemilikan (Milkiyah) Di Madrasah Aliyah Miftahul Ulum Kradinan Madiun
No full textABSTRAK
Alfarizi, Muhammad Harits. 2023. Peningkatan Prestasi Belajar Melalui Metode Pembelajaran Quick On The Draw Untuk Siswa Kelas X Pada Materi Kepemilikan (Milkiyah) Di Madrasah Aliyah Miftahul Ulum Kradinan Madiun. Skripsi. Jurusan Pendidikan Agama Islam Fakultas Tarbiyah Dan Ilmu Keguruan Institut Agama Islam Negeri Ponorogo. Pembimbing Dr. Sugiyar, M.Pd.I
Kata Kunci: Prestasi Belajar, Quick On The Draw, Milkiyah
Dalam proses pencapaian pembelajaran, prestasi belajar sangat dipengaruhi oleh berbagai faktor. Salah satu faktor utama yang sangat berpengaruh dalam keberhasilan pembelajaran adalah metode pembelajaran. Oleh karena itu metode pembelajaran merupakan sebagian dari faktor yang mempengaruhi prestasi belajar siswa yang patut diperhatikan, karena dengan pemilihan metode pembelajaran yang baik dan sesuai peserta didik dengan senang tertarik terhadap pelajaran, selalu memperhatikan guru, keterlibatan siswa di kelas sangat aktif serta terpacu untuk mendapatkan nilai yang baik.
Penelitian ini bertujuan untuk 1) Untuk mengetahui bagaimana metode pembelajaran Quick On The Draw dalam meningkatkan prestasi belajar siswa kelas X pada materi Kepemilikan (milkiyah) di MA Miftahul Ulum Kradinan Madiun. 2) Untuk mengetahui Apakah penerapan metode pembelajaran Quick On The Draw dapat meningkatkan prestasi belajar siswa kelas X pada materi Kepemilikan (milkiyah) di MA Miftahul Ulum Kradinan Madiun.
Pendekatan dan jenis pendekatan dalam penelitian ini menggunakan pendekatan penelitian tindakan kelas (classroom action research) yang dikembangkan oleh Stephen Kemmis dan Mc. Taggart. Dimana dalam alur pelaksanaanya peneliti terlibat langsung dalam proses sejak awal sampai dengan hasil penelitian berupa laporan, yang langkah-langkahnya meliputi perencanaan, pelaksanaan, observasi, dan refleksi. Selanjutnya peneliti memantau, mencatat dan mengumpulkan data lalu menganalisa data serta berakhir dengan melaporkan hasil penelitian.
Berdasarkan hasil analisis data disimpulkan bahwa 1) Penerapan metode Quick On The Draw secara siginifikan mampu meningkatkan aktivitas belajar peserta didik secara bertahap. Hal ini dibuktikan pada siklus I keaktifan peserta didik masuk kategori sangat baik dan baik mencapai 7 peserta didik dengan persentase sama-sama 7 %, kemudian di siklus II meningkat menjadi 8 peserta didik dengan kategori sangat baik dan 10 peserta didik dengan kategori baik yang masing-masing persentase mencapai 34% dan 43%. 2) Penerapan metode pembelajaran Quick On The Draw menunjukkan bahwa terdapat peningkatan prestasi belajar pada mata pelajaran Fikih. Hal ini di buktikan dengan persentase pada siklus I sampai dengan siklus II. Hasil dari siklus I pencapaian KKM hanya 17 peserta didik yang tuntas dengan persentase 73%, kemudian pada siklus II meningkat menjadi 20 peserta didik dengan persentase 87%
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
